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Open Data Source Explorer

notion_open_data_source_app

Inspect Notion database schema, build filters, run queries, and create items from simple values using an interactive explorer.

Instructions

Open an interactive Notion Data Source Explorer MCP App for schema inspection, filter building, querying, and item creation from simple values.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoSpecify the response format. 'json' returns the original data structure, 'markdown' returns a more readable format. Use 'markdown' when the user only needs to read the page and isn't planning to write or modify it. Use 'json' when the user needs to read the page with the intention of writing to or modifying it.
data_source_idNoOptional initial data source ID to inspect and query.It should be a 32-character string (excluding hyphens) formatted as 8-4-4-4-12 with hyphens (-).
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are neutral (readOnlyHint=false, destructiveHint=false). Description adds that the tool opens an interactive app, implying a UI session rather than a direct operation. However, no details on side effects or session behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence efficiently conveys purpose and capabilities. No fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and description does not explain what the tool returns (e.g., success message, app URL, or data). Missing details on 'item creation from simple values' and response behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers both parameters with descriptions (100% coverage). Description does not add extra semantics beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool opens an interactive app for schema inspection, filter building, querying, and item creation. This distinguishes it from sibling tools like notion_inspect_data_source or notion_query_data_source which are single-action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this interactive app vs specific tools like notion_query_data_source. Description implies exploratory use but lacks when-not scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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